Treffer: Early detection of neurological disorders using machine learning systems

Titel:
Early detection of neurological disorders using machine learning systems / Sudip Paul (North-Eastern Hill University Shillong, India), Pallab Bhattacharya (National Institute of Pharmaceutical Education and Research (NIPER) Ahmedabad, India) and Arindam Bit (National Institute of Technology Raipur, India)
Veröffent­licht:
Hershey, PA : IGI Global, [2019]
Umfang:
1 Online-Ressource
Publikationstyp:
E-Book
Sprache:
Englisch
Andere Ausgaben:
Erscheint auch als Druck-Ausgabe, hardcover: ISBN 9781522585671
Anmerkungen:
Epileptic seizure detection and classification using machine learning -- Rekh Janghel, Yogesh Rathore, Gautam Tiparti -- A study on basal ganglia circuit and its relation with movement disorders / Ankita Tiwari, Raghuvendra Tripathi, Dinesh Bhatia -- Social media analytics to predict depression level in the users / Mohammad Shahid Husain -- Tremor identification using machine learning in Parkinson's disease -- Angana Saikia, Vinayak Majhi, Masaraf Hussain, Sudip Paul, Amitava Datta -- Soft computing based early detection of Parkinson's disease using non-invasive method based on speech analysis / Chandrasekar Ravi -- Neurofeedback -retrain the brain / Meena Gupta, Dinesh Bhatia -- Neurocognitive mechanisms for detecting early phase of depressive disorder analysis of event related potentials in human brain / Shashikanta Tarai -- Intelligent big data analytics in health : big data analytics in health / Ebru Bayrak, Pinar Kirci -- Motor imagery classification using EEG signals for brain computer interface applications / Subrota Mazumdar, Rohit Chaudharya, Suruchi Suruchi, Suman Mohanty, Divya Kumari, Aleena Swetapadma -- Mapping the intellectual structure of the field neurological disorders : a bibliometric analysis / S. Ravikmar -- Medical image segmentation an advanced approach / Ramgopal Kashyapdia
ISBN:
1522585680 ; 9781522585688 ; 1522585672 (Sekundärausgabe) ; 9781522585671 (Sekundärausgabe)
DOI:
10.4018/978-1-5225-8567-1

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